Results 81 to 90 of about 388,965 (312)
Scalable probabilistic truss decomposition using central limit theorem and H-index. [PDF]
Esfahani F +4 more
europepmc +1 more source
cuteHap: Haplotype‐Aware Structural Variant Detection in Phased Long‐Read Sequencing Data
cuteHap is a haplotype‐aware structural variant detection method designed for phased long‐read sequencing. By employing self‐adaptive clustering and credibility‐prioritized beam search algorithms, cuteHap generates accurate haplotype‐resolved calls and outperforms state‐of‐the‐art tools.
Shuqi Cao +7 more
wiley +1 more source
In this contribution we deal with a new mathematical description of the response of short-term coleoptile/hypocotyl expansion growth to temperature. Although the interest of both the bio-mechanical basis of elongation growth and temperature responses has
Sylwia Lewicka, Mariusz Pietruszka
doaj +1 more source
Convergence Rates for the Quantum Central Limit Theorem. [PDF]
Becker S, Datta N, Lami L, Rouzé C.
europepmc +1 more source
This study uncovers two overlooked bottlenecks in cryogenic laser cooling of solids: symmetry‐driven fluorescence trapping and water vapor condensation. We demonstrate that breaking sample symmetry enhances fluorescence escape, while condensation dominates parasitic heating below 135 K.
Biao Zhong +5 more
wiley +1 more source
A new quantitative central limit theorem on the Wiener space with applications to Gaussian processes [PDF]
Tobias Fissler, Christoph Thaele
openalex +1 more source
Nearly optimal central limit theorem and bootstrap approximations in high dimensions [PDF]
Victor Chernozhukov +2 more
openalex +1 more source
Quantitative Stain Mapping in X‐Ray Virtual Histology
Virtual histology promises 3D tissue examination without physical sectioning, yet has lacked the tissue‐specificity of conventional pathology. This work demonstrates the first quantitative three‐dimensional stain mapping at histologically relevant resolution, separating contrast agent from tissue to reveal cellular features such as nuclei. The approach
Dominik John +16 more
wiley +1 more source
Convergence rates in the central limit theorem for weighted sums of Bernoulli random fields
Moment inequalities for a class of functionals of i.i.d. random fields are proved. Then rates are derived in the central limit theorem for weighted sums of such randoms fields via an approximation by m-dependent random fields.
Davide Giraudo
doaj +1 more source
Decoding the Star-Forming Main Sequence or: How I Learned to Stop Worrying and Love the Central Limit Theorem [PDF]
Daniel D. Kelson
openalex +1 more source

